Complimentary from the publishers of Predictive Modeling News March, 2015 | |||||
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“Probably the biggest
changes are the ones that can’t be seen. Clearly, the Internet of things, wearables that accurately record clinically significant measures
and advances in databases will drive the output of analytic models into
the workflow and allow tactical data-based decisions in the workflow,
not just strategic. What remains to be seen is what advances in deep
learning, AI and other pieces of the puzzle will bring to the formula.
How will
models be generated and tuned? Will they fluidly adjust to input
streams? Also, will the rumblings around the negatives of AI bring
unexpected regulatory hurdles? There seems to be no doubt models will
become progressively more predictive and have more influence in
day-to-day decision making. The interesting part will be the changes
that we can’t see now.” - Bill Fox JD MA, Senior Vice President of Payer Strategy, Emdeon |
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"Accuracy of Patient’s Turnover Time Prediction Using RFID Technology in an Academic Ambulatory Surgery Center" Journal of Medical Systems, January 2015, 39:12, Date: 31 Jan 2015 http://link.springer.com/article/10.1007%2Fs10916-015-0192-8 |
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Predictive Analytics, Big Data Underpin Episodes of Care Health IT Analytics, March 2, 2015 |
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Predicting 30-Day Readmissions With Preadmission Electronic Health
Record Data Medical Care, abstract only, March 2015 |
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Predictive analytics play new role in fraud detection, but critics want
more Modern Healthcare, February 25, 2015 |
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Analytics a top priorty for majority of healthcare companies in 2015 Managed Healthcare Executive, February 12, 2015 |
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Analytics Predict Which Patients Will Suffer Post-Surgical Infections CIO Journal/ theWall Street Journal, February 11, 2015 |
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Baptist Health sees big payoff using predictive analytics Healthcare Finance News, February 11, 2015 |
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